On Jul 13, 2016 15:02, Adams, Jean wrote:
>
> Timo,
>
> A couple of thoughts ...
>
> First, could you achieve what you want by simply modifying (your own copies
> of) a function or two from the hexbin package, without having to modify the
> entire package? This might
uch lost. I googled for "adapt R package and debug"
and so forth but couldn't find any tutorial or anything.
Thanks,
Timo
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Hi there,
I have a problem, i have a dataset, in which there are time series from 2010-
to 2014, like this:
-2014-01-30 15:39:46
-2012-04-20 14:49:02
And so on .
I want to have a situation in which there are days of week expressed in word,
because I have to calculate days of week and on the ot
)
[1] 8
>
> which(0.12==tau)
integer(0)
> which(0.16==tau)
[1] 8
>
> 0.14%in%tau
[1] FALSE
> 0.16%in%tau
[1] TRUE
Thanks in advance
Timo
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Hello,
I am looking for a way to do fast matrix operations (multiplication, Inversion)
for
large matrices (n=8000) in R. I know R is not that fast in linear algebra than
other software.
So I wanted to write some code in C++ and incorporate this code in R. I have
used the
package RcppArmadillo,
in advance,
Timo
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end up with a matrix containing zeros, although
there are missings in the data frame.
I'd highly appreciate a hint!
Thanks a lot,
Timo Stolz
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R-model available.
How can I incorporate the matrix G directly into the formula?
Thank you very much for your help.
Cheers,
Timo
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mple application (makes no sense for this kind of data though)
data <- data.frame(a=rnorm(1), b=rnorm(1));
#dataset, threshold
get_significant_rows_1(data, 0.01)
here
Thank you for any helpful advice or comments. :-)
Regards,
Timo
Hi,
I am working with the lattice package and I want to label to groups in the
xyplots with mathematical expressions.
I short example for this
library(lattice)
Case<-factor(rep(1:2,each=300))
xx<-rnorm(600,0,1)
yy<-rnorm(600,0,1)
xyplot(yy~xx|Case)
This results in two scatter plots with label
call the function, I always
get the error message "Error in is.null(x) : 'x' is missing". I do not use the
variable "x" at all so this must be some kind of different problem.
Can anyone help me out here?
Many thanks
Timo
Kar
equidistantly over the whole graph, regardless of the number or position
of data-points.
Does anyone have an idea how to achieve this?
Thanks,
Timo
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Does anyone have an idea on this?
On 6 Lip, 11:32, Timo W wrote:
> Hi,
>
> I have a matrix of results of multiple 2x2 chi^2 tests, non-
> significant tests are marked as TRUE. Is there a function for grouping
> those variables in a similar way LSD.test from agricolae library doe
Does anyone have an idea on this?
On 6 Lip, 11:32, Timo W wrote:
> Hi,
>
> I have a matrix of results of multiple 2x2 chi^2 tests, non-
> significant tests are marked as TRUE. Is there a function for grouping
> those variables in a similar way LSD.test from agricolae library doe
Does anyone have an idea on this?
On 6 Lip, 11:32, Timo W wrote:
> Hi,
>
> I have a matrix of results of multiple 2x2 chi^2 tests, non-
> significant tests are marked as TRUE. Is there a function for grouping
> those variables in a similar way LSD.test from agricolae library doe
I need to calculate Q-correlations, in order to quantify differences
between the profiles of my tested persons. Has anybody any experience
doing that? Which command/package targets Q-correlations?
Timo
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On 6 Lip, 12:49, Simone Gabbriellini
wrote:
> Hello List,
>
> as a result of a table(), I have this:
>
> 0 1 3 4 5 6 7 9 11 12 13 14 16 17 18 19 20 21 22 24 27 28
> 27 2 2 2 2 2 1 2 1 3 2 1 2 1 1 3 1 1 1 2 1 1
>
> I would like to simplify it by g
5, 6, & 7 that don't
significantly differ from each other. Is there any _simple_ way to
mark all of them as a group?
If you have any ideas, I'd be grateful.
Thanks in advance,
Timo
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12 24 29 1
> 3 10 22 34 1
> 4 25 50 60 2
> 5 24 53 62 2
> 6 21 49 61 2"),header=TRUE)
>
> print(DF)
> print(str(DF))
>
> aggregate(DF,list(DF$Size),median)
Yes, thanks to you and all the other people who helped! The aggregate
function is exactly w
just overlooked the simple solution to the
problem described above?
Regards,
Timo
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and provid
Hello,
as I import '.sav' files from SPSS, the variable names are shortened to
8 uppercase characters:
"sex_of_therapist" will become "SEX_OF_TH"
Is there a way around this? How can I retrieve the full names?
Greets fro
Dear R-Users,
I need functions to calculate Yule's Y or Cramérs Index, in order to
correlate variables that are nominally scaled?
Am I wrong? Are such functions existing?
Sincerely,
Timo
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